| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "His French accent had always [always]" |
| | dialogueSentences | 46 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0.071 | | effectiveRatio | 0.043 | |
| 94.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 970 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 32.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 970 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flicked" | | 1 | "tension" | | 2 | "whisper" | | 3 | "uncanny" | | 4 | "reminder" | | 5 | "velvet" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "flickered" | | 9 | "wavered" | | 10 | "traced" | | 11 | "silence" | | 12 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 12 | | totalWords | 966 | | ratio | 0.012 | | matches | | 0 | "Je t’aime" | | 1 | "other" | | 2 | "dead" | | 3 | "explanation" | | 4 | "Les Misérables" | | 5 | "belong" | | 6 | "you" | | 7 | "lied" | | 8 | "feelings" | | 9 | "answer" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 584 | | uniqueNames | 9 | | maxNameDensity | 1.2 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Ptolemy | 3 | | Yu-Fei | 1 | | Moreau | 1 | | French | 1 | | Stained | 1 | | Aurora | 7 | | Lane | 1 | | Lucien | 4 |
| | persons | | 0 | "Carter" | | 1 | "Ptolemy" | | 2 | "Yu-Fei" | | 3 | "Moreau" | | 4 | "Aurora" | | 5 | "Lucien" |
| | places | | | globalScore | 0.901 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like ash" | | 1 | "felt like a noose" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 966 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 24.15 | | std | 16.15 | | cv | 0.669 | | sampleLengths | | 0 | 63 | | 1 | 36 | | 2 | 2 | | 3 | 27 | | 4 | 31 | | 5 | 54 | | 6 | 25 | | 7 | 38 | | 8 | 9 | | 9 | 33 | | 10 | 39 | | 11 | 34 | | 12 | 23 | | 13 | 39 | | 14 | 4 | | 15 | 48 | | 16 | 8 | | 17 | 37 | | 18 | 20 | | 19 | 9 | | 20 | 34 | | 21 | 63 | | 22 | 26 | | 23 | 33 | | 24 | 11 | | 25 | 22 | | 26 | 7 | | 27 | 30 | | 28 | 14 | | 29 | 14 | | 30 | 30 | | 31 | 11 | | 32 | 13 | | 33 | 36 | | 34 | 12 | | 35 | 6 | | 36 | 3 | | 37 | 9 | | 38 | 8 | | 39 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 92 | | ratio | 0.043 | | matches | | 0 | "His eyes locked onto hers—amber and obsidian, always uncanny, always wrong." | | 1 | "His nearness was a physical thing—cologne she couldn’t place, the flicker of something *other* in his gaze." | | 2 | "For a moment, the illusion of the charming fixer cracked—raw hunger in his expression, the faintest ripple of inhuman energy in his stance." | | 3 | "The silence stretched, heavy with all the things left unsaid—the night he’d vanished, the letters she’d burned, the way her body still responded to his touch like a wound reopening." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 593 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.0387858347386172 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003372681281618887 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 10.5 | | std | 7.42 | | cv | 0.707 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 18 | | 3 | 4 | | 4 | 9 | | 5 | 23 | | 6 | 2 | | 7 | 8 | | 8 | 19 | | 9 | 11 | | 10 | 13 | | 11 | 2 | | 12 | 5 | | 13 | 6 | | 14 | 11 | | 15 | 19 | | 16 | 6 | | 17 | 12 | | 18 | 10 | | 19 | 9 | | 20 | 6 | | 21 | 14 | | 22 | 24 | | 23 | 9 | | 24 | 16 | | 25 | 5 | | 26 | 12 | | 27 | 14 | | 28 | 17 | | 29 | 8 | | 30 | 18 | | 31 | 16 | | 32 | 3 | | 33 | 14 | | 34 | 6 | | 35 | 3 | | 36 | 23 | | 37 | 13 | | 38 | 4 | | 39 | 19 | | 40 | 29 | | 41 | 3 | | 42 | 5 | | 43 | 26 | | 44 | 11 | | 45 | 10 | | 46 | 10 | | 47 | 3 | | 48 | 6 | | 49 | 11 |
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| 63.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41304347826086957 | | totalSentences | 92 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 57 | | matches | | 0 | "Maybe Yu-Fei’s latest box of" | | 1 | "Somewhere, a car alarm wailed." | | 2 | "Finally, she exhaled." | | 3 | "Somewhere below, the clatter of" | | 4 | "Then, slowly, she took it." |
| | ratio | 0.088 | |
| 44.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 57 | | matches | | 0 | "She’d expected a delivery." | | 1 | "His eyes locked onto hers—amber" | | 2 | "He tilted his head, cane" | | 3 | "His French accent had always" | | 4 | "He stepped closer, the cold" | | 5 | "she said, too sharp, pacing" | | 6 | "His nearness was a physical" | | 7 | "She’d forgotten how he made" | | 8 | "His thumb brushed her scar," | | 9 | "She flinched away." | | 10 | "Her voice cracked" | | 11 | "His jaw tightened." | | 12 | "He gestured to the scrolls" | | 13 | "His cane snapped open with" | | 14 | "His mouth quirked." | | 15 | "She turned toward the window," | | 16 | "His voice softened, and for" | | 17 | "Her voice wavered" | | 18 | "He stepped closer, the blade" | | 19 | "His hands framed her face," |
| | ratio | 0.439 | |
| 56.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 57 | | matches | | 0 | "Aurora Carter froze with her" | | 1 | "Eva’s flat was a tomb" | | 2 | "The tabby cat Ptolemy flicked" | | 3 | "She’d expected a delivery." | | 4 | "His eyes locked onto hers—amber" | | 5 | "The scar on her left" | | 6 | "The lie curdled in the" | | 7 | "He tilted his head, cane" | | 8 | "His French accent had always" | | 9 | "Ptolemy leapt down, purring as" | | 10 | "Aurora crossed her arms, swallowing" | | 11 | "He stepped closer, the cold" | | 12 | "The door slammed shut behind" | | 13 | "she said, too sharp, pacing" | | 14 | "Lucien’s cane pressed against her" | | 15 | "His nearness was a physical" | | 16 | "She’d forgotten how he made" | | 17 | "His thumb brushed her scar," | | 18 | "She flinched away." | | 19 | "Her voice cracked" |
| | ratio | 0.807 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "He gestured, their edges fraying with age" | | 1 | "His cane snapped, the ivory handle splitting to reveal a blade’s edge" | | 2 | "He reached, fingers trembling as they traced the crescent scar" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "His cane snapped (snap)" |
| | dialogueSentences | 46 | | tagDensity | 0.065 | | leniency | 0.13 | | rawRatio | 0.333 | | effectiveRatio | 0.043 | |